Design and quality control of large-scale two-sample Mendelian randomization studies is a dataset published in International Journal of Epidemiology (2023). On theSindex it has a DataRank of 0.620, placing it in the top 31.9% of the data-sharing corpus. It has been cited 14 times, with 9 citing works in its 1-hop citation network. Its calibrated FAIR score is 29/100.
Ranks in the top 32% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
No persistent identifier scheme (DOI, Handle, ARK, or repository accession) is assigned to the paper's own compiled dataset. [majority verdict 'no' (3/5 passes agreed)]
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
“Full GWAS summary data for the included cancer studies can be downloaded from Open GWAS ( https://gwas.mrcieu.ac.uk/) or the GWAS catalogue FTP site ( https://www.ebi.ac.uk/gwas/home)”— not found in the paper; verdict downgraded
The paper names Open GWAS, GWAS catalogue, and University of Bristol data repository as repositories holding the data. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
No identifier or link for the paper's own compiled dataset appears in the reference list or body text; only identifiers for underlying studies are given.
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“Full GWAS summary data for the included cancer studies can be downloaded from Open GWAS ( https://gwas.mrcieu.ac.uk/) or the GWAS catalogue FTP site ( https://www.ebi.ac.uk/gwas/home), or obtained by direct correspondence with the relevant study. Supplementary Table S5 contains further details on the underlying source for each cancer GWAS summary-data set, such as Open GWAS identifiers and columns indicating whether the data were downloaded from the GWAS catalogue or obtained by correspondence. Full GWAS summary data for cancers generated in UK Biobank, under application number 15825, can be downloaded from either Open GWAS or the University of Bristol data repository at https://doi.org/10.5523/bris.aed0u12w0ede20olb0m77p4b9. Summary genetic data corresponding to the fatty acid SNP set (i.e. a subset of the full summary data) for all cancer studies can be found at the following github repository:https:// github.com/mightyphil2000/fatty-acids/tree/master/outcome_data/ data/harmonised.”— not found in the paper; verdict downgraded
The data availability statement points to repositories (Open GWAS, GWAS catalogue, University of Bristol repository) with persistent links. [downgraded to 'partial' — no verifiable quote from the paper]
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls.”
The dataset is described in a single prose sentence without an itemised inventory of files or variables.
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“Full GWAS summary data for the included cancer studies can be downloaded from Open GWAS ( https://gwas.mrcieu.ac.uk/) or the GWAS catalogue FTP site ( https://www.ebi.ac.uk/gwas/home)”— not found in the paper; verdict downgraded
The primary routes to the data are through public repositories (Open GWAS, GWAS catalogue, University of Bristol repository) with no stated precondition. [downgraded to 'partial' — no verifiable quote from the paper]
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“Full GWAS summary data for the included cancer studies can be downloaded from Open GWAS ( https://gwas.mrcieu.ac.uk/) or the GWAS catalogue FTP site ( https://www.ebi.ac.uk/gwas/home), or obtained by direct correspondence with the relevant study.”— not found in the paper; verdict downgraded
The statement describes download actions from repositories without applying an explicit access-level label like 'open access' or 'restricted'. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
“Full GWAS summary data for the included cancer studies can be downloaded from Open GWAS ( https://gwas.mrcieu.ac.uk/) or the GWAS catalogue FTP site ( https://www.ebi.ac.uk/gwas/home), or obtained by direct correspondence with the relevant study.”— not found in the paper; verdict downgraded
The paper uses summary statistics which are not considered sensitive human-subject data, and no gatekeeper is named for the data.
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
No sentence addresses how long the data persist or when they become available, so class 3 (no). [majority verdict 'no' (4/5 passes agreed)]
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
No file format is named for the released data.
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
“We manually mapped the cancer name for each data set to the experimental factor ontology (EFO).”
The paper explicitly states use of the Experimental Factor Ontology, a community standard vocabulary.
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
“15825”— not found in the paper; verdict downgraded
The paper gives the UK Biobank application number 15825, an identifier for an external resource, so class 1 (yes). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
No license or reuse terms are stated for the compiled dataset.
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
“FinnGen [data freeze 1 (14 January 2020)]”
The paper uses dates (data freeze and collection closure) to identify the snapshot, but no version token.
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
“https://github.com/MRCIEU/CheckSumStats”
The paper provides a machine-resolvable GitHub URL for the study's own code.
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“C18281/A19169”— not found in the paper; verdict downgraded
The paper lists multiple grant numbers from named funders. [downgraded to 'partial' — no verifiable quote from the paper]
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
“the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats)”
The paper names specific software packages and tools used to produce the data. [majority verdict 'yes' (3/5 passes agreed)]
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
“Supplementary Table S5 contains further details on the underlying source for each cancer GWAS summary-data set, such as Open GWAS identifiers and columns indicating whether the data were downloaded from the GWAS catalogue or obtained by correspondence.”
Variable definitions and source details are provided in a supplementary table within the article, not in a separate documentation file shipped with the data. [majority verdict 'partial' (3/5 passes agreed)]
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.406
From this paper's citation signal
Citation Network Contribution
0.214
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 9 citers.
Cancer Research UK
Grant: C18281/A19169
National Institute for Health Research Senior Investigator
Grant: NIHR202411
MRC Integrative Epidemiology Unit
Grant: MC_UU_00011/1
MRC Integrative Epidemiology Unit
Grant: MC_UU_00011/4
MRC Integrative Epidemiology Unit
Grant: MC_UU_00011/6
Cancer Research UK
Grant: C52724/A20138
Cancer Research UK
Grant: C18281/A29019
Skills Development Fellowship
Grant: MR/P014054/1
NIH
Grant: R00 CA215360
NHMRC
Grant: #1173390
Cancer Prevention Research Institute of Texas
Grant: RR170048
Cancer Prevention Research Institute of Texas
Grant: U19CA203654
FWCI
2.82
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of MRSamePopTest: introducing a simple falsification test for the two-sample mendelian randomisation ‘same population’ assumption
Additional file 1 of MRSamePopTest: introducing a simple falsification test for the two-sample mendelian randomisation ‘same population’ assumption